product-mockup-studio

Product Mockup Studio: Create branded product mockup images, refine approved stills, and animate them into short videos. Use when an agent needs product mockup studio, ai product photography from phone photos, shopify and woocommerce product page hero images, amazon and etsy listing photos on clean backgrounds, lifestyle product scenes without a photoshoot, animate product mockup, source task id, source file id through AgentPMT-hosted remote tool calls.

AgentPMT@agentpmt

Install

openclaw skills install @agentpmt/product-mockup-studio

Product Mockup Studio

Freshness

Last updated: 2026-09-16.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Tool Does

AI product photography and product video generator for e-commerce brands, marketers, and agencies. Upload one to five ordinary photos of your product and Product Mockup Studio turns them into polished studio hero shots, lifestyle scenes, flat lays, in-hand shots, packaging mockups, and clean marketplace-ready e-commerce images, with no photoshoot required. Lock in the details that matter using brand constraints for exact label text, brand colors, and must-keep product features, then fix any render with a plain-language revision. Once a still is approved, animate it into a 4, 6, or 8 second MP4 product clip with a slow push-in, orbit, turntable, light sweep, or floating motion in landscape 16:9 or vertical 9:16 for Shopify, Amazon, Etsy, Instagram Reels, TikTok, and YouTube Shorts. Powered by ElevenLabs Image & Video, including Google Veo 3.1 for motion, with Nano Banana available as an alternate still-image engine. Every PNG and MP4 is saved to your AgentPMT File Manager. Requires your own ElevenLabs API key.

Product Instructions

Product Mockup Studio

Create a polished product still from reference photos, refine an approved still, or animate it into a short product clip. Inputs and outputs use AgentPMT File Manager IDs.

Recommended workflow

Upload one to five clear product images to File Manager.
Call create_product_mockup in draft mode.
Poll get_mockup_job until the image is completed or failed.
Visually review logos, text, dimensions, colors, and product details. Generated media always requires review.
Use refine_product_mockup for a focused revision, or create a fresh render with image_provider: "nano_banana" to compare providers.
Animate only an approved still, then poll the new video job.

The tool creates the output filename and uses the platform's fixed seven-day File Manager retention. There are no filename or expiration inputs.

Image provider behavior

auto prefers ElevenLabs. With no mask and no more than four references, it falls back to Nano Banana only when ElevenLabs definitively rejects the submission for credentials, access, quota, rate limit, or invalid parameters. It does not retry or fall back after an ambiguous network failure because that could duplicate a paid generation.
elevenlabs forces ElevenLabs image generation.
nano_banana forces the approved centralized Google image connection.
A successfully generated but visually weak image does not switch providers automatically. Review it, then explicitly refine it or create a new render with the other provider.
Masked generation uses the ElevenLabs final route; masks are not accepted with nano_banana.

Actions

`create_product_mockup`

Required: product_file_ids, scene_prompt.

Useful optional fields: product_description, mockup_style, camera_view, style_reference_file_ids, image_provider, render_mode (draft|final), aspect_ratio, mask_file_id, and brand_constraints.

json

{"action":"create_product_mockup","product_file_ids":["file_id"],"scene_prompt":"Premium studio hero shot on warm stone with soft side lighting","render_mode":"draft","image_provider":"auto"}

`refine_product_mockup`

Required: source_task_id, instruction. The source must be a completed image job from this tool in the same budget.

json

{"action":"refine_product_mockup","source_task_id":"task_id","instruction":"Keep the package unchanged; make the background pale gray and soften the contact shadow","render_mode":"final"}

`animate_product_mockup`

Provide exactly one of source_task_id or source_file_id. Video uses ElevenLabs only. Optional controls include motion_preset, motion_prompt, duration_seconds (4|6|8), aspect_ratio (16:9|9:16, default 16:9), resolution, render_mode (preview|final), generate_audio, end_frame_file_id, negative_prompt, and seed.

json

{"action":"animate_product_mockup","source_task_id":"completed_image_task_id","motion_preset":"slow_push_in","duration_seconds":6,"render_mode":"preview"}

`get_mockup_job`

Required: task_id. Polling an ElevenLabs job also imports a completed provider output into File Manager. Wait at least 2 seconds between image polls and 10 seconds between video polls. Once the task is completed, later polls return the stored output rather than importing it again.

json

{"action":"get_mockup_job","task_id":"task_id"}

`list_mockup_jobs`

Lists jobs in the current budget. Optional: media_kind, status, page_size, and cursor.

Output

Creation actions return a task_id immediately. Completed jobs contain an outputs array with the provider, model, media kind, and a managed File Manager object containing file_id, generated filename, content_type, size, and signed preview URL. Still images are normalized to PNG; videos are MP4.

When To Use

Use this skill for Product Mockup Studio on AgentPMT.
Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
Search and activation keywords: product mockup studio, ai product photography from phone photos, shopify and woocommerce product page hero images, amazon and etsy listing photos on clean backgrounds, lifestyle product scenes without a photoshoot, animate product mockup, source task id, source file id.
Supported action names: animate_product_mockup, create_product_mockup, get_mockup_job, list_mockup_jobs, refine_product_mockup.

Use Cases

AI product photography from phone photos
Shopify and WooCommerce product page hero images
Amazon and Etsy listing photos on clean backgrounds
Lifestyle product scenes without a photoshoot
Packaging and label mockups that keep exact brand text
Flat-lay and in-hand product shots for social media
Vertical 9:16 product videos for Instagram Reels and TikTok
Turntable and orbit product clips for launch pages
Ad creative variations in multiple aspect ratios
Refining backgrounds lighting and props on an approved product image

Categories And Industries

No categories or industry tags are published for this tool.

Actions And Schema

Complete generated action schema: ./schema.md. Supported action count: 5. x402 availability: not enabled for this product.

animate_product_mockup (action slug: animate-product-mockup): Turn an approved product still into a short ElevenLabs MP4 product clip. Price: 10 credits. Parameters: aspect_ratio, duration_seconds, end_frame_file_id, generate_audio, motion_preset, motion_prompt, negative_prompt, render_mode, plus 4 more.
create_product_mockup (action slug: create-product-mockup): Create one product-focused PNG mockup from File Manager product photos and a scene brief. Price: 25 credits. Parameters: aspect_ratio, brand_constraints, camera_view, image_provider, mask_file_id, mockup_style, product_description, product_file_ids, plus 3 more.
get_mockup_job (action slug: get-mockup-job): Check one mockup job and import a completed PNG or MP4 into File Manager. Price: 1 credits. Parameters: task_id.
list_mockup_jobs (action slug: list-mockup-jobs): List budget-scoped product mockup jobs without exposing unrelated provider generations. Price: 1 credits. Parameters: cursor, media_kind, page_size, status.
refine_product_mockup (action slug: refine-product-mockup): Revise a completed mockup while preserving its product identity and approved composition. Price: 25 credits. Parameters: aspect_ratio, brand_constraints, image_provider, instruction, mask_file_id, render_mode, source_task_id.

Live Schema And Examples

Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.

Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "product-mockup-studio".
Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "product-mockup-studio", or call this product with action: "get_instructions" when the product tool is already selected.
Treat returned live schema and instructions as more specific than this generated summary.

MCP schema lookup through the main AgentPMT MCP server:

json

{
  "method": "tools/call",
  "params": {
    "name": "AgentPMT-Tool-Search-and-Execution",
    "arguments": {
      "action": "get_schema",
      "tool_id": "product-mockup-studio"
    }
  }
}

For live examples, keep the same MCP tool and use these arguments:

json

{
  "action": "get_instructions",
  "tool_id": "product-mockup-studio"
}

Authenticated AgentPMT REST schema lookup body:

json

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_schema",
    "tool_id": "product-mockup-studio"
  }
}

Authenticated AgentPMT REST live examples body:

json

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_instructions",
    "tool_id": "product-mockup-studio"
  }
}

Call This Tool

Product slug: product-mockup-studio

Marketplace page: https://www.agentpmt.com/marketplace/product-mockup-studio

AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
x402 route: not enabled for this product.
AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.

If those setup skills are not installed beside this product skill, use the downloads below.

Core AgentPMT setup skills:

What AgentPMT is: ../what-is-agentpmt
- ClawHub page: https://clawhub.ai/agentpmt/what-is-agentpmt
- OpenClaw install: openclaw skills install what-is-agentpmt
- skills.sh install: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup
- ClawHub page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup
- OpenClaw install: openclaw skills install agentpmt-account-mcp-rest-api-setup
- skills.sh install: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

skills.sh install script:

bash

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

MCP call shape after the main AgentPMT MCP server is connected:

json

{
  "method": "tools/call",
  "params": {
    "name": "Product-Mockup-Studio",
    "arguments": {
      "action": "animate_product_mockup",
      "aspect_ratio": "16:9",
      "duration_seconds": 4,
      "end_frame_file_id": "example end frame file id",
      "generate_audio": true,
      "motion_preset": "slow_push_in",
      "motion_prompt": "example motion prompt",
      "negative_prompt": "example negative prompt",
      "render_mode": "preview"
    }
  }
}

Use the exact tool name returned by tools/list; the name above is the expected readable form.

Authenticated AgentPMT REST call body:

json

{
  "name": "product-mockup-studio",
  "parameters": {
    "action": "animate_product_mockup",
    "aspect_ratio": "16:9",
    "duration_seconds": 4,
    "end_frame_file_id": "example end frame file id",
    "generate_audio": true,
    "motion_preset": "slow_push_in",
    "motion_prompt": "example motion prompt",
    "negative_prompt": "example negative prompt",
    "render_mode": "preview"
  }
}

Use the setup skill for the account connection details before making REST calls.

Response Handling

Treat the returned JSON as the source of truth for this tool call.
If the response includes warnings or correction targets, apply them before retrying.
If the response includes a passed or success-style boolean, use it as the workflow gate.
If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
If animate_product_mockup fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.

Security

Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
Keep tool inputs scoped to the minimum content needed for the task.
Use the setup skills for credential handling; this product skill only defines product-specific behavior.

AgentPMT Reference

What AgentPMT is: ../what-is-agentpmt (ClawHub: what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)
AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup (ClawHub: agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup)
Marketplace product: https://www.agentpmt.com/marketplace/product-mockup-studio
AgentPMT main MCP server: https://api.agentpmt.com/mcp/
AgentPMT REST invoke endpoint: https://api.agentpmt.com/products/purchase

product-mockup-studio

Install

Product Mockup Studio

Freshness

What This Tool Does

Product Instructions

Product Mockup Studio

Recommended workflow

Image provider behavior

Actions

create_product_mockup

refine_product_mockup

animate_product_mockup

get_mockup_job

list_mockup_jobs

Output

When To Use

Use Cases

Related Product Skills

Categories And Industries

Actions And Schema

Live Schema And Examples

Call This Tool

Response Handling

Security

AgentPMT Reference

`create_product_mockup`

`refine_product_mockup`

`animate_product_mockup`

`get_mockup_job`

`list_mockup_jobs`